Trends and Applications in Knowledge Discovery and Data Mining

PAKDD 2013 International Workshops: DMApps, DANTH, QIMIE, BDM, CDA, CloudSD, Gold Coast, QLD, Australia, April 14-17, 2013, Revised Selected Papers

  • Jiuyong Li
  • Longbing Cao
  • Can Wang
  • Kay Chen Tan
  • Bo Liu
  • Jian Pei
  • Vincent S. Tseng

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7867)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 7867)

Table of contents

  1. Front Matter
  2. Data Mining Applications in Industry and Government

    1. Adriel Cheng, Peter Dickinson
      Pages 1-13
    2. Daniel McNamara, Paul Wong, Peter Christen, Kee Siong Ng
      Pages 14-25
    3. Robert Layton, Charles Perez, Babiga Birregah, Paul Watters, Marc Lemercier
      Pages 36-46
    4. Banda Ramadan, Peter Christen, Huizhi Liang, Ross W. Gayler, David Hawking
      Pages 47-58
    5. David Rohde, Ruth Huang, Jonathan Corcoran, Gentry White
      Pages 83-94
    6. Brendan Kitts, Dyng Au, Brian Burdick
      Pages 95-108
    7. Vladimir Nikulin, Aneesha Bakharia, Tian-Hsiang Huang
      Pages 109-120
    8. Yaowen Zhang, Xiaojun Xiang, Cunyan Yin, Lin Shang
      Pages 121-132
  3. Data Analytics for Targeted Healthcare

    1. Jing Zhang, Douglas Gross, Osmar R. Zaïane
      Pages 143-154
    2. SunHee Kim, Christos Faloutsos, Hyung-Jeong Yang
      Pages 155-167
    3. Jia Xing Yeoh, Chuii Khim Chong, Yee Wen Choon, Lian En Chai, Safaai Deris, Rosli Md. Illias et al.
      Pages 179-190
    4. Chuii Khim Chong, Mohd Saberi Mohamad, Safaai Deris, Mohd Shahir Shamsir, Yee Wen Choon, Lian En Chai
      Pages 191-200
    5. Xinyu Wang, Chunhong Zhang, Yang Ji, Li Sun, Leijia Wu, Zhana Bao
      Pages 201-213
    6. Lian En Chai, Mohd Saberi Mohamad, Safaai Deris, Chuii Khim Chong, Yee Wen Choon
      Pages 214-222

Other volumes

  1. 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I
  2. 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part II
  3. Trends and Applications in Knowledge Discovery and Data Mining
    PAKDD 2013 International Workshops: DMApps, DANTH, QIMIE, BDM, CDA, CloudSD, Gold Coast, QLD, Australia, April 14-17, 2013, Revised Selected Papers

About these proceedings

Introduction

This book constitutes the refereed proceedings at PAKDD Workshops 2013, affiliated with the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) held in Gold Coast, Australia in April 2013.
The 47 revised full papers presented were carefully reviewed and selected from 92 submissions. The workshops affiliated with PAKDD 2013 include: Data Mining Applications in Industry and Government (DMApps), Data Analytics for Targeted Healthcare (DANTH), Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models (QIMIE), Biologically Inspired Techniques for Data Mining (BDM), Constraint Discovery and Application (CDA), Cloud Service Discovery (CloudSD).

Keywords

association rule mining clustering health informatics machine learning social networks

Editors and affiliations

  • Jiuyong Li
    • 1
  • Longbing Cao
    • 2
  • Can Wang
    • 2
  • Kay Chen Tan
    • 3
  • Bo Liu
    • 4
  • Jian Pei
    • 5
  • Vincent S. Tseng
    • 6
  1. 1.School of Information Technology and Mathematical SciencesUniversity of South AustraliaAdelaideAustralia
  2. 2.Advanced Analytics InstituteUniversity of TechnologySydneyAustralia
  3. 3.Department of Electrical and Computer EngineeringNational University of SingaporeSingaporeSingapore
  4. 4.School of AutomationGuangdong University of TechnologyGuangzhouChina
  5. 5.School of Computing ScienceSimon Fraser UniversityBurnabyCanada
  6. 6.Department of Computer Science and Information EngineeringNational Cheng Kung UniversityTainanTaiwan

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-40319-4
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-40318-7
  • Online ISBN 978-3-642-40319-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book